MoorAI reviews prompts and outputs on the device. A single-purpose, on-device guardrail in front of the AI agents your developers run — Claude Code, Codex, GitHub Copilot CLI. Content never leaves the machine; security teams see only redacted, content-free signals. Open source (AGPL-3.0).
Zenity is a pure-play AI-agent security and governance platform. An Observe / Govern / Defend SaaS console plus an endpoint agent, with MCP and tool-call mediation, build-time posture, and runtime defense. It governs a broad agent surface — Cursor, Claude Code, Copilot, Windsurf, Tabnine — and was named a Gartner “Company to Beat” in AI Agent Governance (2026). This is an honest, architecture-level comparison: a focused on-device tool versus a broad governance platform.
Zenity and MoorAI operate at different scopes and with different centers of gravity. Zenity is a platform: a cloud console for observing, governing, and defending AI agents across SaaS copilots, cloud agents, and endpoints, with posture management at build time and MCP mediation at runtime. MoorAI does one thing — it reviews the prompts and outputs flowing through a developer's coding agent, locally on that machine, so content never leaves the device. Zenity is governance- and posture-first; MoorAI is prompt-and-output DLP-first.
| MoorAI | Zenity | |
|---|---|---|
| Product shape | Single-purpose on-device agent | Governance platform + console |
| Where review happens | On the device | Cloud console + endpoint reporting |
| Prompt content leaves the machine | Never | Reported to the SaaS console |
| Prompt + output DLP depth | Deep — content matrix, redaction | Governance / posture-first |
| Agent-governance breadth | Coding agents on the endpoint | SaaS copilots + cloud agents + endpoints |
| MCP / tool-call mediation | Allow / deny enforced on-device at call time | Mature mediation & runtime defense |
| Blocks secrets read into agent context | ✓ Claude Code hooks · Codex / Copilot CLI detect-only | Not stated at the CLI file-read layer |
| MCP tool-call interception (arguments) | ✓ Secrets & PII in mcp__* arguments | Mature MCP mediation |
| MCP allow-list enforced at call time | ✓ Non-allow-listed servers blocked | Yes — mediation policy |
| RAG poisoning / indirect prompt injection | On-device — hidden-instruction & invisible-text (zero-width / bidi) detection in retrieved content | Mature — RAG poisoning, indirect injection & citation manipulation, blocked before the agent acts |
| Reviews AI output, not just prompts | ✓ Output-stage detectors + CLI redaction | Governance / posture-first |
| Runs fully on-device (no egress) | ✓ Always | Cloud console + endpoint reporting |
| Content-free telemetry | ✓ Category, risk level, one-way hash | Reported to the SaaS console |
| AIBOM export (AI bill of materials) | ✓ HTML / JSON / CSV, CycloneDX-loose | Agent inventory across the estate |
| Build-time posture | Out of scope | Yes |
| Analyst standing | Emerging | Gartner “Company to Beat” (2026) |
| Licensing | Open core (AGPL-3.0 agent) | Proprietary |
Where Zenity is stronger. Zenity has genuine breadth in agent governance — SaaS copilots, cloud agents, and endpoints under one console — mature MCP-mediation and runtime defense, notably deep RAG-poisoning / indirect-prompt-injection detection (a Zenity research specialty — embedded manipulation in retrieved content and tool results, mapped to OWASP LLM08), recognized analyst leadership, and larger backing (~$55M from Intel Capital, M12, Third Point). For an organization standardizing AI-agent governance across its whole estate, that platform reach matters.
Where MoorAI is stronger. On-device, no-egress review keeps prompt content on the machine rather than reporting it to a cloud console. MoorAI goes deeper on prompt-and-output DLP, is single-purpose rather than a heavy platform to stand up, and is open core. It also guards a surface a console-first platform doesn't reach: the local file read. When an agent pulls a .env into its own context, that content never touches a network path a cloud console could inspect — MoorAI catches it at the read, on the device, via the agent's PreToolUse hooks.
Use them together. Zenity can govern the agent estate broadly while MoorAI enforces content-level DLP on the developer endpoint, where keeping prompt content local is a hard requirement.
Zenity capabilities and funding described here reflect its published material and press coverage; the Gartner “Company to Beat” reference is attributed to Gartner's AI Agent Governance coverage (2026) and is not a Gartner endorsement of this comparison. Zenity is a trademark of Zenity Inc.; this page is not affiliated with or endorsed by Zenity. Comparison is architecture-level — verify current specifics against each vendor's docs. A “—” cell means we could not confirm the capability either way from published material; it is not a claim that the capability is absent.
Recently shipped in MoorAI — all on-device and content-free: a lethal-trifecta detector, rules-file poisoning detection (CLAUDE.md / .cursorrules), a capture-tier toggle (content-free by default), per-tool MCP argument rules, a per-agent assurance score, a data-lineage / Event Flow view, on-device model escalation, and cryptographically signed agency decisions — mapped across OWASP LLM Top 10, NIST CSF, NIST AI RMF, SOC 2, ISO 27001/42001, and the EU AI Act.